Grai vs OpenDataDiscovery Platform
Grai
grai.ioOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | Grai | OpenDataDiscovery Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Lineage Tools | 8.3 (#7) | 8.1 (#9) |
| Deployment | The project says it is open source and can be self-hosted, including with Docker Compose or Kubernetes examples and Helm charts. | The site offers local Docker Compose, Kubernetes deployment with Helm charts, and AWS Marketplace QuickLaunch. |
| Integrations | Listed connectors include Snowflake, BigQuery, Redshift, Postgres, MySQL, SQL Server, dbt, Fivetran, flat files, Metabase, and Looker (alpha). | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Lineage | Grai says it can automatically build column-level lineage across warehouses and production services. | The platform provides automatic company-wide ingestion-to-product lineage to help identify issues and affected stakeholders. |
| Purpose | Grai describes itself as a data lineage tool for understanding and testing how data relates across databases, warehouses, APIs, and dashboards. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Security | Grai’s privacy policy says it uses commercially acceptable means to protect personal data but cannot guarantee absolute security. | ODD supports authentication through LDAP, and its documentation warns against using its simple login-form authentication in production. |
| Support | The repository lists [email protected] for contact and points users to Slack and a community roadmap for requests and bug reports. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
In their own words
Grai
Grai is a data lineage tool for tracing and testing relationships among databases, warehouses, APIs, and dashboards. It can automatically build column-level lineage across warehouses and production services. Centralized validation tests run when upstream data sources change, and GitHub Actions can alert CI/CD workflows when production changes affect warehouses or dbt projects. Listed connectors include Snowflake, BigQuery, Redshift, Postgres, MySQL, SQL Server, dbt, Fivetran, flat files, Metabase, and Looker; the Looker connector is marked alpha. Grai describes itself as open source and self-hostable, with Docker Compose and Kubernetes examples and Helm charts. Grai Cloud is available to run for free. The frontend is a React web application, and the CLI is a Python client for the Grai server. The repository lists an MIT-0 license. The privacy policy says Grai collects email addresses, cookies, and usage data, and names AWS and Google Cloud Platform among its service providers. It says commercially acceptable measures are used to protect personal data but cannot guarantee absolute security. The repository lists [email protected] and points to Slack and a community roadmap for requests and bug reports.
OpenDataDiscovery Platform
OpenDataDiscovery Platform is an open-source catalog for finding and governing data products across data teams. Search and facet filters help users locate metadata by source, owner, or tag, then explore ownership and related links. The platform traces data objects and microservices end to end, imports data quality test results, and shows dataset quality status. It also catalogs machine-learning experiment metadata and lineage and supports experiment logging, connecting data science and data engineering work. Teams can access collected metadata through a web interface or REST API, and deploy with Docker Compose, Kubernetes and Helm charts, or AWS Marketplace QuickLaunch. The catalog uses an open metadata collection standard to connect catalogs, tools, and feature stores; Lookup Tables support reference data governance. ODD supports LDAP authentication and USER and ADMIN roles. Its documentation cautions against simple login-form authentication in production. Metadata attachments are limited to 20 MB, while links can point to larger or remotely stored files. The platform is free and open source, with public development.